69,495
Followers
1,416
Following
274
Tweets
1,955.3
Avg Engagement
47
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @stevelean4real's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Mid-Tier (10K+)
- Account Age:2011-05-14
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:227
- Avg Likes per Tweet:1,755.8
- Avg Retweets per Tweet:199.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 227 tweetsThe user's tweets receive a high number of likes, indicating popularity, but retweets are relatively low, suggesting the content is more viewed than shared. The engagement is likely driven by informative or question-based posts.
1,755.8
Avg Likes/Tweet
199.5
Avg Retweets/Tweet
398,557
Total Likes
45,294
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
159
Median Likes
13
Median Retweets
876
75th Percentile
113,464
Top Tweet
28.14
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
48.0%
Original
39.2%
Replies
7.0%
Retweets
5.7%
Quotes
0.0%
Threads
0.0%
With Media
51.5%
With Links
0.9%
With #Tags
44.5%
With @Mentions
15.0%
With Emojis
37
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.82
Reply/Original Ratio
0.81
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
78.9%
Weekday Posts
21.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 227 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 16 retweets (7% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 227 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 10,000 followersThe audience seems to be interested in general information, possibly health, and location-based content. They may be looking for answers, tips, or recommendations.
Good
Audience Quality
17.4%
Suspicion Index
22.9%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.9%
Empty Bio
20.7%
<10 Tweets
2.6%
Mass Following (>2K)
0.0%
New (<90 days)
39.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.1%
No URL
13.0%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
4,407,209
Total Potential Reach
26
Median Follower Reach
94
75th Percentile Reach
2.0%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
58.1%
Creators
5,812 accounts
21.2%
Consumers
2,118 accounts
20.7%
Dormant
2,070 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
15
Verified Followers
0.15% of total
1,079
Protected Accounts
10.79% of total
3 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @illojuan | 1,649,396 | Content Creator | Gaming, Streaming, YouTube |
| @DPPt_Shitpost | 188,772 | - | - |
| @saramalacara_ | 182,391 | Influencer | guchi, porro, suicide room |
| @follacamiones24 | 154,286 | Streamer | Video games, Twitch, Dark Souls |
| @Lahcenhaddad | 136,420 | Academic | Research, Writing, Development |
| @BFrog__ | 111,797 | Meme Creator | Memes, humor, gaming |
| @DavidCastain | 105,754 | Academic | Forbes, Ph.D. Candidate, Kappa Alpha Psi |
| @Diniogarcia | 78,521 | Influencer | Dinio, Milenia Leyva, Love |
| @MarcelRasquin | 64,503 | Filmmaker | Filmmaking, Coffee, Troublemaking |
| @U24noticias | 64,484 | News outlet | Argentina, Mundo, Periodismo |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,711
Followers With Bio
3,289
Followers Without Bio
67.11%
% With Bio
32.89%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 227 analyzed182,031
Combined Engagement
166,577
Total Likes
15,454
Total Retweets
36,406
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
no se ni que escribir https://t.co/GgfkGcnI2B
donde esta donde esta el puerto de indias https://t.co/90kTw0hbu9
las 5 frutas diarias https://t.co/mcxmc4jhP2
https://t.co/tv2Vj24c7S
jose https://t.co/lv8jI74XRs
Key Insights & Takeaways
The user frequently shares questions, indicating a desire for interaction or information. Their top tweets include links, suggesting they often share external content. They may be targeting a general audience interested in health, travel, or daily tips.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 69,495
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @stevelean4real reveals an exceptionally influential Twitter presence with 69,495 followers. The account demonstrates a content-creator strategy, averaging 1,955.3 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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